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Top datasets with the most feature models

Sample dataset 1

Data Management Plan

September 16, 2025 at 03:36 PM

•   Author 1 Affiliation 1

Description for dataset 1

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Glencoe

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DOI

/doi/10.1234/dataset1

http://preproduction.uvlhub.io/doi/10.1234/dataset1

Sample dataset 2

Data Management Plan

September 16, 2025 at 03:36 PM

•   Author 2 Affiliation 2

Description for dataset 2

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Glencoe

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/doi/10.1234/dataset2

http://preproduction.uvlhub.io/doi/10.1234/dataset2

Sample dataset 3

Data Management Plan

September 16, 2025 at 03:36 PM

•   Author 3 Affiliation 3

Description for dataset 3

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Glencoe

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/doi/10.1234/dataset3

http://preproduction.uvlhub.io/doi/10.1234/dataset3

Sample dataset 4

Data Management Plan

September 16, 2025 at 03:36 PM

•   Author 4 Affiliation 4

Description for dataset 4

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Glencoe

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/doi/10.1234/dataset4

http://preproduction.uvlhub.io/doi/10.1234/dataset4

Prueba importación

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March 24, 2026 at 10:31 AM

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Glencoe

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DOI

/doi/10.5072/zenodo.473478

http://preproduction.uvlhub.io/doi/10.5072/zenodo.473478

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What is uvlhub.io?

uvlhub.io is a repository of feature models in UVL format integrated with Zenodo and flamapy, developed by DiversoLab.

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Sure! You can fork our official GitHub repository, create fantastic features, and then send us a pull request.

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Cite us!

How to cite us?

David Romero-Organvidez, José A. Galindo, Chico Sundermann, Jose-Miguel Horcas, David Benavides. UVLHub: A feature model data repository using UVL and open science principles, Journal of Systems and Software, 2024, 112150, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2024.112150

David Benavides, Chico Sundermann, Kevin Feichtinger, José A. Galindo, Rick Rabiser and Thomas Thüm, Uvl: Feature Modelling with the Universal Variability Language., Journal of Systems and Software, Volume 225, 2025, 112326, ISSN 0164-121 https://doi.org/10.1016/j.jss.2024.112326

2025© University of Seville · University of Malaga · University of Ulm

•  Repository on GitHub

@article{romero2024_uvlhub_open_science,
    title = {UVLHub: A feature model data repository using UVL and open science principles},
    journal = {Journal of Systems and Software},
    pages = {112150},
    year = {2024},
    issn = {0164-1212},
    doi = {https://doi.org/10.1016/j.jss.2024.112150},
    url = {https://www.sciencedirect.com/science/article/pii/S016412122400195X},
    author = {David Romero-Organvidez and José A. Galindo and Chico Sundermann and Jose-Miguel Horcas and David Benavides},
    keywords = {Feature models, Software product line, Variability, Dataset, Uvl}
}

TY  - JOUR
T1  - UVLHub: A feature model data repository using UVL and open science principles
AU  - Romero-Organvidez, David
AU  - Galindo, José A.
AU  - Sundermann, Chico
AU  - Horcas, Jose-Miguel
AU  - Benavides, David
JO  - Journal of Systems and Software
SP  - 112150
PY  - 2024
DA  - 2024/07/01/
SN  - 0164-1212
DO  - https://doi.org/10.1016/j.jss.2024.112150
UR  - https://www.sciencedirect.com/science/article/pii/S016412122400195X
KW  - Feature models
KW  - Software product line
KW  - Variability
KW  - Dataset
KW  - Uvl

David Romero-Organvidez, José A. Galindo, Chico Sundermann, Jose-Miguel Horcas, David Benavides,
UVLHub: A feature model data repository using UVL and open science principles,
Journal of Systems and Software,
2024,
112150,
ISSN 0164-1212,
https://doi.org/10.1016/j.jss.2024.112150.
(https://www.sciencedirect.com/science/article/pii/S016412122400195X)
Keywords: Feature models; Software product line; Variability; Dataset; Uvl

Romero-Organvidez, D., Galindo, J. A., Sundermann, C., Horcas, J.-M., & Benavides, D. (2024). UVLHub: A feature model data repository using UVL and open science principles. Journal of Systems and Software, 2024, 112150. https://doi.org/10.1016/j.jss.2024.112150

@article{benavides2024uvl,
    title = {UVL: Feature modelling with the Universal Variability Language},
    journal = {Journal of Systems and Software},
    volume = {225},
    pages = {112326},
    year = {2025},
    issn = {0164-1212},
    doi = {https://doi.org/10.1016/j.jss.2024.112326},
    url = {https://www.sciencedirect.com/science/article/pii/S0164121224003704},
    author = {David Benavides and Chico Sundermann and Kevin Feichtinger and José A. Galindo and Rick Rabiser and Thomas Thüm},
    keywords = {Feature model, Software product lines, Variability},
}      

TY  - JOUR
T1  - UVL: Feature modelling with the Universal Variability Language
AU  - Benavides, David
AU  - Sundermann, Chico
AU  - Feichtinger, Kevin
AU  - Galindo, José A.
AU  - Rabiser, Rick
AU  - Thüm, Thomas
JO  - Journal of Systems and Software
VL  - 225
SP  - 112326
PY  - 2025
DA  - 2025/07/01/
SN  - 0164-1212
DO  - https://doi.org/10.1016/j.jss.2024.112326
UR  - https://www.sciencedirect.com/science/article/pii/S0164121224003704
KW  - Feature model
KW  - Software product lines
KW  - Variability

David Benavides, Chico Sundermann, Kevin Feichtinger, José A. Galindo, Rick Rabiser, Thomas Thüm,
UVL: Feature modelling with the Universal Variability Language,
Journal of Systems and Software,
Volume 225,
2025,
112326,
ISSN 0164-1212,
https://doi.org/10.1016/j.jss.2024.112326.
(https://www.sciencedirect.com/science/article/pii/S0164121224003704)
Keywords: Feature model; Software product lines; Variability

Benavides, D., Sundermann, C., Feichtinger, K., Galindo, J. A., Rabiser, R., & Thüm, T. (2025). UVL: Feature modelling with the Universal Variability Language. Journal of Systems and Software, 225, 112326. https://doi.org/10.1016/j.jss.2024.112326